path: "tensorflow.ConditionalAccumulator"
tf_class {
  is_instance: "<class \'tensorflow.python.ops.data_flow_ops.ConditionalAccumulator\'>"
  is_instance: "<class \'tensorflow.python.ops.data_flow_ops.ConditionalAccumulatorBase\'>"
  is_instance: "<type \'object\'>"
  member {
    name: "accumulator_ref"
    mtype: "<type \'property\'>"
  }
  member {
    name: "dtype"
    mtype: "<type \'property\'>"
  }
  member {
    name: "name"
    mtype: "<type \'property\'>"
  }
  member_method {
    name: "__init__"
    argspec: "args=[\'self\', \'dtype\', \'shape\', \'shared_name\', \'name\', \'reduction_type\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'conditional_accumulator\', \'MEAN\'], "
  }
  member_method {
    name: "apply_grad"
    argspec: "args=[\'self\', \'grad\', \'local_step\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'None\'], "
  }
  member_method {
    name: "num_accumulated"
    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "set_global_step"
    argspec: "args=[\'self\', \'new_global_step\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "take_grad"
    argspec: "args=[\'self\', \'num_required\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
}
